Data is key to understanding how a process is performing, but it can lead organizations astray if they use it incorrectly. In this podcast, Mercy Harper talks with APQC’s John Tesmer and Holly Lyke-Ho-Gland about the traps organizations fall into with process performance data and why organizations should think holistically about process and data for machine learning.
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How Different Generations Experience Virtual Collaboration with Jude Cohen, Lauren Trees, and Cindy Hubert
Surviving the Hybrid Office with Iris Mansour and Lauren Trees
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Why You Need a KM Vision: Stan Garfield Interview
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APQC Knowledge Management Podcast: Next-Generation Communities of Practice
Should Knowledge Management Embrace Doing More With Less?
The Workspace of the Future: Process and Performance Management Edition
AP and Payments Fraud Grows More Sinister
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